samehkhattab/biomed-retrieval-qwen3-0.6b-expert-real-medical-checkpoint

SentenceTransformer based on Qwen/Qwen3-0.6B

This is a sentence-transformers model finetuned from Qwen/Qwen3-0.6B on the biomed_retrieval_real_medical dataset. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: Qwen/Qwen3-0.6B
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 1024 dimensions
• Similarity Function: Cosine Similarity
• Training Dataset:
  • biomed_retrieval_real_medical

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: Qwen3Model 
  (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': True, 'include_prompt': True})
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'Given a question, retrieve relevant Pubmed passages that answer the question: Does nS-398 ( a selective cyclooxygenase-2 inhibitor ) decrease agonist-induced contraction of the human ureter via calcium channel inhibition?',
    'Recently, it has been demonstrated that ureteral obstruction is associated with increased cyclooxygenase (COX)-2 expression and that selective COX-2 inhibitors provide potent analgesia with fewer side effects in patients with ureteral stones. Moreover, selective COX-2 inhibitors have been shown to decrease in vitro contractility of the human ureter. We aimed at evaluating the effects of the selective COX-2 inhibitor NS-398 on human ureteral smooth muscle contractility and compare its potency with that of nonselective COX inhibitors, COX-1 inhibitors, and other COX-2 inhibitors. Ureteral samples were obtained from human adult subjects undergoing radical nephrectomy. After isolating the upper ureteral strips, we analyzed the contractile responses of the ureteral strips to high potassium (KCl 35 mM) and Bay K 8644 and the relaxation responses of a nonspecific COX inhibitor (indomethacin), a COX-1 inhibitor (SC-560), and a COX-2 inhibitor (NS-398 and celecoxib) to KCl and Bay K 8644-induced contraction by measuring isometric tension. NS-398 produced dose-dependent (10⁻⁹-10⁻⁵ M) relaxation of KCl (35 mM)-precontracted strips of the ureter, whereas indomethacin (10⁻⁸-10⁻⁵ M) and SC-560 (10⁻⁹-10⁻⁵ M) did not. Both tonic and phasic contraction of Bay K 8644 (methyl-1,4-dihydro-2,6-dimethyl-3-nitro-4-2(trifluoromethylphenyl)pyridine-5-carboxylate) (1 μM) were significantly inhibited by NS-398 (10⁻⁵ M). Another selective COX-2 inhibitor, celecoxib, did not show potent inhibitory effects as strong as those of NS-398',
    'Urinary concentrating defects and polyuria are the most important renal manifestations of hypercalcemia and the resulting hypercalciuria. In this study, we tested the hypothesis that hypercalciuria-associated polyuria in kidney collecting duct occurs through an impairment of the vasopressin-dependent aquaporin 2 (AQP2) water channel targeting to the apical membrane possibly involving calcium-sensing receptor (CaR) signaling. AQP2-transfected collecting duct CD8 cells were used as experimental model. Quantitation of cell surface AQP2 immunoreactivity was performed using an antibody recognizing the extracellular AQP2 C loop. Intracellular cyclic adenosine monophosphate (cAMP) accumulation was measured in CD8 cells using a cAMP enzyme immunoassay kit. To study the translocation of protein kinase C (PKC), membranes or cytosol fractions from CD8 cells were subjected to Western blotting using anti-PKC isozymes antibodies. The amount of F-actin was determined by spectrofluorometric techniques. Intracellular calcium measurements were performed by spectrofluorometric analysis with Fura-2/AM. We demonstrated that extracellular calcium (Ca2+ o) (5 mmol/L) strongly inhibited forskolin-stimulated increase in AQP2 expression in the apical plasma membrane. At least three intracellular pathways activated by extracellular calcium were found to contribute to this effect. Firstly, the increase in cAMP levels in response to forskolin stimulation was drastically reduced in cells pretreated with Ca2+ o compared to untreated cells. Second, Ca2+ o activated PKC, known to counteract vasopressin response. Third, quantification of F-actin demonstrated that Ca2+ o caused a nearly twofold increase in F-actin content compared with basal conditions. All these effects were mimicked by a nonmembrane permeable agonist of the extracellular CaR, Gd3+ If calcium channel blockers affect nitric oxide synthesis in the vascular tissue, they could influence disease progression in coronary arteries. We investigated the effects of the calcium channel blocker amlodipine on nitric oxide synthesis by measuring the production of nitrite, a stable metabolite of nitric oxide, in vascular smooth muscle cells. We measured the production of nitrate in cultured rat vascular smooth muscle cells with the Griess reagent Inducible nitric oxide synthase protein and mRNA expression were assayed by Western blotting and reverse transcription-polymerase chain reaction, respectively. The levels of NF-kappaB proteins in nuclear extracts were analyzed by gel retardation assay. Incubation of cultures with interleukin-1 , (10 ng/ ml) for 24 h caused a significant increase in nitrite generation. Interleukin-1 l-induced nitrite production by vascular smooth muscle cells was significantly increased by amlodipine in a dose-dependent manner. This augmentative effect of amlodipine was completely abolished in the presence of N(G)-monomethyl-L-arginine or actinomycin D. Amlodipine-induced nitrite production was accompanied by increased inducible nitric oxide synthase mRNA and protein accumulation. Interleukin-1 , induced NF-kappaB activation in vascular smooth muscle cells, and addition of amlodipine further increased this NF-kappaB activation. The effect of amlodipine on nitrite production was maintained in the presence of the calcium channel agonist Bay K 8644',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Evaluation

Metrics

Triplet

• Dataset: bmretriever
• Evaluated with TripletEvaluator

Metric	Value
cosine_accuracy	0.9875

Training Details

Training Dataset

biomed_retrieval_real_medical

• Dataset: biomed_retrieval_real_medical at f6257a5
• Size: 275,400 training samples
• Columns: anchor, positive, negative, and source
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative	source
  type	string	string	string	string
  details	min: 19 tokens mean: 57.48 tokens max: 512 tokens	min: 3 tokens mean: 275.11 tokens max: 512 tokens	min: 5 tokens mean: 458.24 tokens max: 512 tokens	min: 1 tokens mean: 1.87 tokens max: 3 tokens

• Samples:

  anchor	positive	negative	source
  Given a question with context from online medical forums, retrieve responses that best answer the question: I have a diagnosis for major depressive disorder associated with psychotic features. This condition was discovered during active duty in the army. I just recently became eligible for VA benefits and is waiting to get assigned to a primary care doctor at my local VA hospital. What might be the right medication for this condition?	Ideally it should be managed by a psychiatrist and I expect that your primary care doctor will refer you to one. While you are waiting for the referral, it will be better if your primary care doctor can start you on an antidepressant like Prozac, Zoloft, Learn, Effector etc. Since these medicines take around 4 to 6 weeks to show their response, the sooner these are started, the better it is. Among antipsychotics, both Zyprexa and Risperdal are good options. Best wishes	By the symptoms you have stated, you probably have a viral infection. Take bed rest, plenty of oral fluids, symptomatic treatment (Paracetamol or antitussives, decongestants, analgesics, moisturizer cream, etc. ,) according to your local availability. If not decreasing with these measures or any serious problem arises, you can immediately consult nearby health center for further treatment. Every psychiatrist can treat the problem you mentioned, and it is very important for you to restart the medication as soon as possible. Paranoid subtype of schizophrenia has the best prognosis among all the subtypes of schizophrenia. When your situation becomes stabilized, the dose of the medication could be lowered enough to avoid any short term side effect (like tremors, rigidity, Chat Doctor. They may even discontinue the medication in its own time. I wish you the best heal	dialogue
  Given a medical question from the stackexchange, retrieve replies that best answer the question: How did early chemists measure mass of atoms? Here a book says that Berzelius measured atomic masses using a simple lab and his measurements was so close to modern results. Can someone explain how a person living in 19th century was able to measure atomic masses? Like he took this and those, observed this and that and did something else. Can I repeat his experiments at home too and get his results? Do I actually understand atomic mass right? For me it is a mass in gramms of one atom of an element. Also, I can't understand how Gay-Lussac measured the volumes of gases reacted with each other. What does the book mean by saying 2 volumes of Hydrogen? How much are 2 volumes? Are they measured in m^3 or what? Please try to avoid the use of moles in answers as I don't understand why we need moles actually. So, I think I need to understand questions above first before moving to moles.	Careful measurements were the foundation of chemical theory Let's take the questions out of order to simplify the answers. It doesn't matter what yours you use to measure volume as long as you stick to the same units in all your calculations. Cubic widgets is fine as long as you do all your calculations using them. The key to understanding how chemists came to know about atomic mass is careful measurements of the widths and volumes involved in reactions. Chemists observed that certain reactions always involved the same mass ratios. More interestingly, when gases are reacted they also involve the same volume ratios. When hydrogen and oxygen react to for water you start with two volumes (2 cubic widgets if you want) of hydrogen and one of oxygen react together to give water. How do we know it is just that ratio? Do the experiment with 3 volumes of hydrogen and one of oxygen and observe that there is still one volume of hydrogen left after the reaction is done. Those experiments sh...	Not everything comes as a solution. Rather, the historical chemist would have started of with solid substances. These were purified according to ‘established procedures’ (distillation, recrystallisation, dissolution and precipitation) which worked quite well. Then, one of these substances would have been used to make a stock solution — and because it is solid you can simply weigh it. Now you might assume that the historical chemist had no knowledge on how two substances would react — which is likely true. However, once he knew the composition of one type of solution, he was able to express the other in equivalents: ‘this solution is able to reduce two equivalents of the permanganate solution’ (using the first example that jumped to my head; not sure whether that is actually a likely thought). Going via the diversion of analytical chemistry (is this a compound or an element?), it was established that a law of multiple proportions existed: if two elements form more than one compound, t...	exchange
  Given a question, retrieve relevant Pubmed passages that answer the question: Is mechanical dyssynchrony evaluated by tissue Doppler cross-correlation analysis associated with long-term survival in patients after cardiac resynchronization therapy?	Pre-implant assessment of longitudinal mechanical dyssynchrony using cross-correlation analysis (XCA) was tested for association with long-term survival and compared with other tissue Doppler imaging (TDI)-derived indices. In 131 patients referred for cardiac resynchronization therapy (CRT) from two international centres, mechanical dyssynchrony was assessed from TDI velocity curves using time-to-peak opposing wall delay (OWD) ≥80 ms, Yu index ≥32 ms, and the maximal activation delay (AD-max) >35 ms. AD-max was calculated by XCA of the TDI-derived myocardial acceleration curves. Outcome was a composite of all-cause mortality, cardiac transplantation, or implantation of a ventricular assist device (left ventricular assist device) and modelled using the Cox proportional hazards regression. Follow-up was truncated at 1460 days. Dyssynchrony by AD-max was independently associated with improved survival when adjusted for QRS > 150 ms and aetiology {hazard ratio (HR) 0.35 [95% confidence int...	Mechanical alternans (MA) is a powerful predictor of adverse prognosis in patients with heart failure and cardiomyopathy, but its use remains limited due to the need of invasive continuous arterial pressure recordings. This study aims to assess novel cardiovascular correlates of MA in the intact human heart to facilitate affordable and non-invasive detection of MA and advance our understanding of the underlying pathophysiology. Arterial pressure, respiration, and ECG were recorded in 12 subjects with healthy ventricles during voluntarily controlled breathing at different respiratory rate, before and after administration of beta-blockers. MA was induced by ventricular pacing. A total of 67 recordings lasting approximately 90 s each were analyzed. Mechanical alternans (MA) was measured in the systolic blood pressure. We studied cardiovascular correlates of MA, including maximum pressure rise during systole (dPdtmax), pulse arrival time (PAT), pulse wave interval (PI), RR interval (RRI), ...	qa_pairs

• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

Evaluation Dataset

biomed_retrieval_real_medical

• Dataset: biomed_retrieval_real_medical at f6257a5
• Size: 15,300 evaluation samples
• Columns: anchor, positive, negative, and source
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative	source
  type	string	string	string	string
  details	min: 19 tokens mean: 60.11 tokens max: 512 tokens	min: 6 tokens mean: 270.64 tokens max: 512 tokens	min: 4 tokens mean: 459.04 tokens max: 512 tokens	min: 1 tokens mean: 1.87 tokens max: 3 tokens

• Samples:

  anchor	positive	negative	source
  Given a medical question from the stackexchange, retrieve replies that best answer the question: Culture-bound Syndrome?	Some doctors believe dhat syndrome to be either a culture-bound presentation of clinical depression as a somatized set of symptoms or a result of Western doctors' misinterpretation of patients' descriptions of their condition. It is very common in Pakistani culture as well. Most of them come with the complaints of "drops".. and become extremely anxious about it and see it as loss of "male power". it is often related with obsessive ruminations and somatoform symptoms. Others see it as a distinct clinical entity which is less culture-bound than these critics assert, and describe it as one form of a syndrome of "semen-loss anxiety" which also occurs in other Eastern cultures as jiryan and shen-k'uei, as well as in Western cultures.	Androgen insensitivity syndrome is due to hormone resistance which may be due to defective androgen receptor (AR) function by either abnormal androgen receptor (AR) binding, decreased receptor binding, or impaired androgen receptor (AR) binding. AIS is an X linked disorder. The development of androgen insensitivity syndrome is a result of genetic mutations of the androgen receptor (AR) gene located on the chromosome Xq11-12. Associated conditions include primary amenorrhea, infertility and dyspareunia. The exact pathophysiology of CVID is not fully understood. Defective immunoglobulin secretion leading to dysregulated immune function is believed to be main pathophysiological mechanism of CVID. Defective B cell differentiation into plasma cells, results in inability to produce specific immunoglobulins. Multiple immuno-regulatory dysfunction leads to hypogammaglobulinemia. CVID is associated with a high occurrence of autoimmune, inflammatory, and malignant disorders, whereas these condi...	exchange
  Given a question with context from online medical forums, retrieve responses that best answer the question: I have had a constant flutter in my right lower abdomen for the past week, it happens every 10 minutes or so and lasts for about 3 to 10 seconds...Its not painful, just feel weird...It wakes me up at night...Ive been having regular bowel movements...Im on my cycle now since 3 days ok, it seems a little heavier than usual, my last cycle was 27 days prior to this one and it was pretty light....My boyfrined and I used protection 5 weeks ago and prior to that it had been 2 months...He lives out of town...Do you know what it could be?	Thanks for your query. The fluttering in right lower abdomen for 1 week. Not much painful but is waking you up at night indicates that it is painful. You have regular bowel movements, used protection during the last intercourse. We have to think about: appendicitis, colitis, right ureteric colitis and so on. This can be diagnosed by an ultrasonography of the abdomen and the tests of the blood, urine and stool tests. You will need a treatment with an antibiotic and metronidazole, probiotic, symptomatic and supportive	Thanks for your query. To recapitulate: Lower left abdominal pain for nearly a year - ER -sharp gaseous pain before BM - fatigue -all tests negative except 15 mm fungal calcific fibroid - spotting fresh blood - stress for 2 months - ? IBS / hypothyroidism- With the history you have provided there looks to be a change in the fibroid that might have caused the pain. Another reason for gaseous pain before bowel movements and stress indicate more towards IBS. I think get treated on the basis of IBS and you will be fine. Get colonoscopy on a safer side to rule out any cance Thanks for choosing Chat Doctor. F. As you describe the period started 3 weeks back with pain all over the belly. This morning you had pain in the lower tummy and back. It pains and remissions alternatively. It appears to be pelvic inflammatory disease, If to the right could be appendicitis, or urinary tract infection. If to the left may be urinary tract infection. If near the naves may be due to intestinal...	dialogue
  Given a question with context from online medical forums, retrieve responses that best answer the question: After a fall from a bike I badly deflected my right leg. It is very swollen but 3 days later I have numbness to the knee to the right and below the knee which also occassionally gives a burning/stabbing sensation. X-rays at hospital were not thought to have shown any fractures. Can you advise please	Now the burning and stabbing sensation has two things to look for. Either some nerve entrapment in its course it's leading this or either a ligament injury within the knee joint. An orthopedic with being the right choice to look for and conclude based on the clinical examination and correlating with the clinical symptoms.	If swelling was after injury then X-ray of left knee anteroposterior and lateral views should be done to rule out fracture Since pain is not relieved in 2 days. If X-ray is normal further investigation needed is MRI of left knee to rule out soft tissue injury should be done. Visit to knee surgeon is recommended Anyway, with a swollen knee, I would not expect the MRI to result normal. If there is a fracture or ligament rupture, surgery with arthroscopy would be the best treatment option. In the meantime, I recommend taking ibuprofen for the pain, immobilization and using local cold packs.	dialogue

• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy: epoch
• per_device_train_batch_size: 256
• per_device_eval_batch_size: 256
• num_train_epochs: 1
• warmup_steps: 100
• bf16: True
• dataloader_drop_last: True
• optim: adamw_bnb_8bit
• ddp_find_unused_parameters: False
• gradient_checkpointing: True
• gradient_checkpointing_kwargs: {'use_reentrant': False}
• use_liger_kernel: True

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: epoch
• prediction_loss_only: True
• per_device_train_batch_size: 256
• per_device_eval_batch_size: 256
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 1
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 5e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 1
• max_steps: -1
• lr_scheduler_type: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.0
• warmup_steps: 100
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: True
• save_on_each_node: False
• save_only_model: False
• restore_callback_states_from_checkpoint: False
• no_cuda: False
• use_cpu: False
• use_mps_device: False
• seed: 42
• data_seed: None
• jit_mode_eval: False
• bf16: True
• fp16: False
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• local_rank: 0
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: True
• dataloader_num_workers: 0
• dataloader_prefetch_factor: None
• past_index: -1
• disable_tqdm: False
• remove_unused_columns: True
• label_names: None
• load_best_model_at_end: False
• ignore_data_skip: False
• fsdp: []
• fsdp_min_num_params: 0
• fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
• fsdp_transformer_layer_cls_to_wrap: None
• accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
• parallelism_config: None
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_bnb_8bit
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• project: huggingface
• trackio_space_id: trackio
• ddp_find_unused_parameters: False
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• skip_memory_metrics: True
• use_legacy_prediction_loop: False
• push_to_hub: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: None
• hub_always_push: False
• hub_revision: None
• gradient_checkpointing: True
• gradient_checkpointing_kwargs: {'use_reentrant': False}
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: no
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: True
• liger_kernel_config: None
• eval_use_gather_object: False
• average_tokens_across_devices: True
• prompts: None
• batch_sampler: batch_sampler
• multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss	Validation Loss	bmretriever_cosine_accuracy
0.0465	50	5.2334	-	-
0.0930	100	0.1259	-	-
0.1395	150	0.0356	-	-
0.1860	200	0.0272	-	-
0.2326	250	0.0202	-	-
0.2791	300	0.0191	-	-
0.3256	350	0.0181	-	-
0.3721	400	0.0185	-	-
0.4186	450	0.0152	-	-
0.4651	500	0.0142	-	-
0.5116	550	0.0125	-	-
0.5581	600	0.0129	-	-
0.6047	650	0.0124	-	-
0.6512	700	0.0121	-	-
0.6977	750	0.0126	-	-
0.7442	800	0.0121	-	-
0.7907	850	0.0126	-	-
0.8372	900	0.0115	-	-
0.8837	950	0.0103	-	-
0.9302	1000	0.0106	-	-
0.9767	1050	0.0112	-	-
1.0	1075	-	0.0085	0.9875

Framework Versions

• Python: 3.11.9
• Sentence Transformers: 4.1.0
• Transformers: 4.57.1
• PyTorch: 2.6.0+cu124
• Accelerate: 1.6.0
• Datasets: 2.21.0
• Tokenizers: 0.22.1

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}